Luma AI

    Product Engineer | Enterprise

    Luma AI
    Posted 12/6/2025Senior Level
    Full-time
    Technology
    Python
    Backend Development
    Kubernetes
    Security
    Authentication

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    Job Description

    The Opportunity Luma AI is a full-stack AI lab building Multimodal AGI. We train our own foundational models and build the products that sit on top of them. We combine the capital and compute resources of a major tech giant with the agility and individual ownership of a small, early-stage startup.

    Where You Come In We are establishing a new vertical to bridge our frontier research with the world’s largest creative organizations. You will be the foundational engineer for this initiative, architecting the systems that allow major partners to utilize our generative models securely and at scale. This is a high-agency role for a builder who thrives on defining technical direction from a blank canvas.

    What You Will Build The Foundation: Architect the core authentication and identity layer from scratch, implementing robust SSO and role-based access control systems that serve as the gateway to our intelligence. Enterprise Logic: Design the backend infrastructure for team management, billing, and shared workspaces, enabling collaborative creativity for thousands of users. Scale: Build high-throughput Python systems capable of handling complex, data-intensive workflows for our most sophisticated partners.

    The Profile We Are Looking For Builder DNA: You have a history of shipping 0-to-1 products. You prefer defining the architecture over maintaining legacy code. Technical Autonomy: You have the judgment to make high-stakes technical decisions in ambiguous environments, often operating as a team of one or two. Python Fluency: You possess expert-level proficiency in Python backend development and have experience with modern orchestration tools like Kubernetes. Security Intuition: You understand that trust is the product. You have successfully implemented enterprise-grade security and authentication patterns in previous builds.

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